Highlights:
- Data access and industry standards may help leaders eliminate potential bias in healthcare artificial intelligence tools, as well as improve implementation of the technology, according to a report from the US Government Accountability Office (GAO).
- While the potential of AI has been well-documented and demonstrated by researchers and developers alike, the technology could also bring significant challenges to care delivery. Concerns over data access, bias, transparency, and integration have hindered the use of AI in healthcare, and will continue to do so until these issues are addressed.
- In addition to data access, issues with scaling and integration in healthcare organizations can also hinder AI use. Differences among institutions and the patient populations they serve can make it challenging to widely apply and implement these tools.
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